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PyPy A fast, compliant alternative implementation of Python Download PyPy What is PyPy ? Documentation (external link) On average, PyPy is about 3 times faster than CPython 3.11. We currently
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PyPy Skip to main content Features What is PyPy? Compatibility Performance Download Dev Docs Blog Index Tags Archive by year RSS feed Old site About Bluesky IRC logs YouTube Twitch Sponsors How To Help? Contact PyPy A fast, compliant alternative implementation of Python Download PyPy What is PyPy ? Documentation (external link) On average, PyPy is about 3 times faster than CPython 3.11. We currently support python 3.11 and 2.7. PyPy (with JIT) benchmark times normalized to CPython. Smaller is better. Based on the geometric average of all benchmarks "... we are avid fans of PyPy and commensurately thankful for the great work by the PyPy team over the years. PyPy has enabled us to use Python for a larger part of our toolset than CPython alone would have supported, and its smooth integration with C/C++ through CFFI has helped us attain a better tradeoff between performance and programmer productivity in our projects" -- Vilhjálmur Þorsteinsson, founder and CEO of Miðeind, Feb 2022 Advantages and distinct Features Speed: thanks to its Just-in-Time compiler, Python programs often run faster on PyPy. (What is a JIT compiler?) Memory usage: memory-hungry Python programs (several hundreds of MBs or more) might end up taking less space than they do in CPython. Compatibility: PyPy is highly compatible with existing python code. It supports cffi, cppyy, and can run popular python libraries like twisted, and django. It can also run NumPy, Scikit-learn and more via a c-extension compatibility layer. Stackless: PyPy comes by default with support for stackless mode, providing micro-threads for massive concurrency. As well as other features. © 2026 The PyPy Team Built with Nikola Last built 2026-07-21T08:21 RSS feed Presented by Qortora, a product of Qortora, LLC. Content remains the property of the original publisher. This reference page supports transparent discovery within the Qortora index.